Unit 1 Review

Front

What is Quartile 3 (Q3) in a data set?

Back

Quartile 3 (Q3) is the value that separates the highest 25% of the data from the lowest 75%. It is the 75th percentile.

Front

How do you find Quartile 3 in a data set?

Back

To find Q3, arrange the data in ascending order and locate the value at the 75th percentile position.

Front

What is the median in a data set?

Back

The median is the middle value when the data is arranged in ascending order. If there is an even number of observations, it is the average of the two middle values.

Front

What measure of central tendency is best used when there are outliers?

Back

The median is the best measure of central tendency to use when there are outliers, as it is not affected by extreme values.

Front

What are quantitative variables?

Back

Quantitative variables are numerical variables that can be measured or counted, such as height, weight, or number of siblings.

Front

What percentage of data is below Quartile 3 (Q3) in a boxplot?

Back

75% of the data is below Quartile 3 (Q3) in a boxplot.

Front

What does a right-skewed boxplot indicate about the data?

Back

A right-skewed boxplot indicates that the majority of the data points are concentrated on the left side, with a few higher values stretching the tail to the right.

Front

What is an outlier in a data set?

Back

An outlier is a data point that is significantly different from the other observations in the data set, often lying outside 1.5 times the interquartile range (IQR) from the quartiles.

Front

How do you identify outliers using the interquartile range (IQR)?

Back

Outliers can be identified by calculating the IQR (Q3 - Q1) and determining if any data points fall below Q1 - 1.5*IQR or above Q3 + 1.5*IQR.

Front

What is the interquartile range (IQR)?

Back

The interquartile range (IQR) is the difference between the first quartile (Q1) and the third quartile (Q3) and measures the spread of the middle 50% of the data.